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Identifying the dynamic relationship between tanker freight rates and oil prices: In the perspective of multiscale relevance
Institution:1. Institute of Policy and Management, Chinese Academy of Sciences, Beijing 100190, China;2. Beijing University of Chemical Technology, Beijing 100029, China;3. University of Chinese Academy of Sciences, Beijing 100049, China;1. Faculty of Finance, Cass Business School, City University London, 106 Bunhill Row, London EC1Y 8TZ, United Kingdom;2. Department of Accounting, Finance and Governance, Westminster Business School, University of Westminster, 35 Marylebone Road, London NW1 5LS, United Kingdom
Abstract:The tanker shipping market has been treated as the key extension of the world oil market and inevitably, its uncertainty is correlated to volatility of the oil market, besides supply and demand factors. Therefore, for improving operational management and budget planning decisions, it is essential to understand the inherent relevance between freight rates and crude oil prices. Taking time-dependent features into account, this paper focuses on the multiscale correlation between freight rates and oil prices. Given the complexity and mutability of tanker freight rate process, this paper first extracts the intrinsic mode functions from the original data using the Ensemble Empirical Mode Decomposition model and then reconstructs two separate composite functions: high-frequency and low-frequency components, plus the residual as the long-term trend. Secondly, correlations of the multiscale components of freight rates and oil prices are examined based on relevance structure. Empirical results show that tanker freight rates and oil prices exhibit different multiscale properties with true economic meaning and are significantly correlated in the medium and the long term when taking the relevance structure into account. These findings offer some useful information to better understand the correlations between these two markets and more importantly, propose a novel perspective to investigate the dynamic relationship between two markets.
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